Experts from AWS and other industry leaders discuss Generative AI, CyberSecurity and Application/Network Performance, plus Real-Life Use Cases and Deployment Recommendations, specifically for Healthcare and Life Sciences organizations, including Hospitals, Providers, Clinical and Medical Research Institutions, Device/Equipment Suppliers, Life Sciences, Pharmaceutical/Drug Manufacturers, Biotech, Payer/Insurers, EMR Solutions, etc.
Date/Start Time: October 23, 10 am ET
Scroll down to see the full and detailed agenda, plus expert speakers. Click on their name to view their Linkedin profile, and session title for additional information. There is time for live interaction/Q&A with the speakers so have your questions ready. CPE credit hours are provided.
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Speakers, Topics, Agenda
10:05 John Weidenhammer, Senior Systems Engineer, Cloudbrink
Cloudbrink is purpose-built to deliver the healthcare industry's highest performance connectivity to remote and hybrid medical staff, anywhere in the world. With an all-software solution and leveraging a highly secure zero-trust model, Cloudbrink accelerates performance for critical healthcare applications, electronic health records (EHRs), and telemedicine services.
10:25 Mamoon Chowdry, AI, Machine Learning, Cloud Computing Leader, AWS, plus DJ Kulkarni, Solution Architect HCLS and GenAI, AWS
Generative AI and Purpose Built Services for Healthcare & Life Sciences (HCLS): Healthcare and life science organizations are reinventing how they collaborate, make data-driven clinical and operational decisions, enable precision medicine, and decrease the cost of care.
While healthcare and life science organizations have been using AI and ML for years, generative AI brings new possibilities to accelerate innovations, increase efficiencies, and improve outcomes across the health continuum. From generating new therapeutic candidates, to better matching patients with the right clinical trials, to powering patient engagement applications, AWS makes it easier to access the services, data, models, and secure infrastructure needed to scale generative AI across your organization.
Multiple expert speakers from AWS will also discuss and demonstrate purpose built HCLS services including:
HealthLake: HIPAA-eligible service offering healthcare companies a complete view of individual and patient population health data using FHIR (Fast Healthcare Interoperable Resources) API based transactions to securely store and transform their data into a queryable format at petabyte scale, and further analyze this data using machine learning (ML) models.
HealthScribe: HIPAA-eligible service empowering healthcare software vendors to build clinical applications that use speech recognition and generative AI to automatically generate preliminary clinical documentation.
HealthImaging: HealthImaging is designed for builders who develop cloud-native medical imaging applications. HealthImaging ingests data in the DICOM P10 format and provides APIs for low-latency retrieval and purpose-built storage.
HealthOmics: HealthOmics is a purpose-built service that helps healthcare and life science organizations and their software partners store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health. It supports large-scale analysis and collaborative research.
11:25 Ward Cobleigh, Product Line Manager - Network Performance & Threat Solutions, Viavi Solutions
Network Observability and End-User Experience Monitoring for Healthcare
Whether it’s providing access to EMR/EHR systems, patient scheduling and registration, gaining visibility into remote urgent care locations, enabling remote patient monitoring, or delivering the services used by a dozen different departments, the network team is under constant pressure to ensure that everything works efficiently and reliably at all times. The delivery and quality of patient care, even the lives of those being cared for, can be directly tied to the services that IT supports.
Even as the need to improve patient care by delivering and supporting new services continues to grow, in many cases budgets and staff are not growing at the same pace (if at all). IT teams and Network Engineers are being challenged to make the best use of all available tools and data sources, including our old standby, packet capture and analysis. While packets remain the ultimate source of truth when it comes to troubleshooting and securing the network, packet captures are not always the ideal data source when it comes to understanding performance, managing the End-User Experience, and prioritizing support issues.
The combination of automated End-User Experience Scoring, with quick and easy access to packets when needed, provides the best of both worlds. VIAVI will discuss and demonstrate how that powerful combination can provide high-level network observability, an understanding of how critical services are performing, and the packet-level details needed to hold vendors accountable and solve complex problems.
11:45 Eric Jeffery, Regional Sales Engineer, AlgoSec
Securing Healthcare Application Connectivity, Anywhere
Healthcare organizations maintain some of the most valuable data throughout IT systems. Learn how to enhance security through aligning application intent with operational security policies. Gain insights into new and additional security tools and processes, as this technical session covers application flows, change management, and automation.